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Results: 153
Number of items: 153
  • Open Access
    Amiri, S. (2026). From patient to pattern: Probabilistic models for synthetic data in digital health twin analytics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kokash, N., Wang, L., Gillespie, T. H., Belloum, A. S. Z., Grosso, P., Quinney, S., Li, L., & de Bono, B. (2026). Ontology- and LLM-based data harmonization for federated learning in healthcare. Frontiers in Digital Health , 8, Article 1756555. https://doi.org/10.3389/fdgth.2026.1756555
  • Open Access
    Kuchumov, R. I., Korkhov, V. V., Belloum, A. S., & Grosso, P. (2026). Competitive analysis of HPC co-scheduling strategies optimizing for makespan, fairness and efficiency. Journal of Computational Science, 99, Article 102915. https://doi.org/10.1016/j.jocs.2026.102915
  • Open Access
    Benladgham, R., Hadjila, F., & Belloum, A. (2025). Efficient Privacy-Utility Optimization for Differentially Private Deep Learning: Application to Medical Diagnosis. International Journal of Electrical and Computer Engineering Systems, 16(5), 377-395. https://doi.org/10.32985/ijeces.16.5.3
  • Open Access
    Müller, T., Turner, R. J., Amiri, S., Allaart, C., van Binsbergen, L. T., Dijksman, L., van Engers, T., Belloum, A., Grosso, P., Grünwald, P., Hoogoort, K., Härmä, A., Hegeman, J. M., Kassem, J. A., Kebede, M., de Laat, C., van der Nat, P., Pals, A., Scheepers, F., & Klous, S. (2025). Optimizing Clinical Pathways with Federated Data. Jusletter IT, 2025, 147-158. https://doi.org/10.38023/eeb1b383-86b0-4b9e-89d5-57af4b58eeb3
  • Open Access
    Yang, Z., Vogt, F., Belloum, A., Rothenberg, C., Grosso, P., & Papagianni, C. (2025). Adaptive Digital Twin Synchronization: A Mechanism for Where, When, and What to Measure. In CoNEXT-SW '25: Proceedings of the CoNEXT '25 Student workshop, co-Located with CONEXT 2025 : December 1-4, 2025, Hong Kong, Hong Kong (pp. 9-10). Association for Computing Machinery. https://doi.org/10.1145/3769700.3771695
  • Open Access
    Allaart, C., Amiri, S., Bal, H., Belloum, A., Gommans, L., Van Halteren, A., & Klous, S. (2025). Private and Secure Distributed Deep Learning: A Survey. ACM Computing Surveys, 57(4), Article 92. https://doi.org/10.1145/3703452
  • Open Access
    Chen, J., Yang, Z., Shen, Y., Liu, J., Belloum, A., Grosso, P., & Papagianni, C. (2025). SurveyGen-I: Consistent Scientific Survey Generation with Evolving Plans and Memory-Guided Writing. In K. Inui, S. Sakti, H. Wang, D. F. Wong, P. Bhattacharyya, B. Banerjee, A. Ekbal, T. Chakraborty, & D. P. Singh (Eds.), The 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: proceedings of the conference : IJCNLP-AACL 2025 : December 20-24, 2025 (Vol. 1, pp. 3687–3714). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.ijcnlp-long.193
  • Open Access
    Benladgham, R., Hadjila, F., & Belloum, A. (2024). Exploring Hyper-Parameter Sensitivity for Improved Privacy and Utility in Differentially Private Models on Real-World Medical Data. In 2024 International Conference of the African Federation of Operational Research Societies (AFROS 2024): Tlemcen, Algeria, 3-5 november 2024 (pp. 669-673). IEEE. https://doi.org/10.1109/AFROS62115.2024.11037125
  • Open Access
    Spanjer, R. F., & Belloum, A. S. Z. (2024). Protocol-Level Kafka Controls in a Customizable Proxy. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 313-314). IEEE. https://doi.org/10.1109/e-Science62913.2024.10678687
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